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\nPay Range Transparency
\nDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilising the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
\nZone 1 Pay Range $228,600-$314,250 USD
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\nYou will collaborate closely with our technical teams to support the development and refinement of new AI capabilities, with a particular emphasis on quantitative trading domains.
\nYour expertise will help select and solve challenging problems in systematic and quantitative strategies , including statistical arbitrage, factor investing, market microstructure modeling, high-frequency / execution algorithms, risk premia harvesting, machine learning-based alpha generation, and portfolio optimisation under realistic constraints.
\nThis role requires strong analytical thinking, rapid adaptation to evolving guidelines, and the ability to provide rigorous, technically sound critiques and solutions in a fast-moving environment.
\nAs a Quantitative Trader, you will directly contribute to xAI's mission by helping train and refine our frontier AI models.
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\nThis involves providing high-quality data in various formats (text, voice, video), writing detailed annotations, critiquing model outputs, recording audio explanations, and occasionally participating in structured video sessions.
\nWe are looking for individuals who are enthusiastic about these data-generation activities, as they form a core part of advancing xAI’s goals in scientific discovery and real-world reasoning.
\nQuantitative Traders provide labeling, annotation, evaluation, and expert reasoning services across text, voice, and video data modalities to support model training and evaluation.
\nThe role may include recording audio responses, participating in video-based tasks, or producing step-by-step quantitative reasoning traces , all of which are essential job functions required to fulfill xAI’s mission.
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\nThe ideal candidate will possess a deep understanding of sales processes, compensation best practices, and strong leadership skills to manage the end-to-end compensation cycle, specifically within the high-tech industry.
\nKey responsibilities include:
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\nThe MaaS Data Science team is central to all money movements, embedded finance, and platform solutions for our biggest and most complex customers. The two roles available are in Embedded Finance (Capital, Issuing) and Connect (Stripe's solution and growth suite for platforms and marketplaces).
\nThe Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention.
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Responsibilities: * End-to-end ownership of monthly headcount walk, including collection and reconciliation of Financial headcount plans and estimates, developing models/presentations, insights generation and partnership with senior leaders * Main contributor to internal People Analytics efforts to build a People Data Fabric across the suite of people technologies and insights platforms, including Visier, Glint, and Snowflake * Create monthly workforce reports that help guide important parts of EA's business * Partner with the People Analytics team to complete important insights/data projects, including building scalable data pipelines for recommendation systems * Work with finance partners, resource managers, talent acquisition and HR leaders to deliver monthly Workforce Planning process Qualifications and Skills: * MBA or Master's degree in a quantitative field (Data Science, Information Systems, Computer Science, or related field) * 2 years of experience in a quantitative field within HR, People Analytics, Workforce Planning, or Financial Planning * Experience working with technology focusing on HR Data or Analytics (e.g., Visier, Workday, Alteryx, PowerBI, Tableau, Python, and Snowflake) * Experience delivering on high visibility analytical projects * Experience evaluating trends and outliers and communicate clear, relevant insights that inform decision-making and achieve measurable results Pay Transparency - North America: The ranges listed below are what EA in good faith expects to pay applicants for this role in these locations at the time of this posting. If you reside in a different location, a recruiter will advise on the applicable range and benefits. Pay offered will be determined based on a number of relevant business and candidate factors (e.g. education, qualifications, certifications, experience, skills, geographic location, or business needs). PAY RANGES \\* British Columbia (depending on location e.g. Vancouver vs. Victoria) \\*$75,900 - $105,600 CAD Benefits: For Canada, we offer a package of benefits including vacation (3 weeks per year to start), 10 days per year of sick time, paid top-up to EI/QPIP benefits up to 100% of base salary when you welcome a new child (12 weeks for maternity, and 4 weeks for parental/adoption leave), extended health/dental/vision coverage, life insurance, disability insurance, retirement plan to regular full-time employees. Certain roles may also be eligible for bonus and equity.
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\nWe’re looking for a Senior Manager, Compensation Analytics to lead complex compensation analyses and deliver high-impact insights that support hiring, promotions, retention, and equity decisions. This role focuses on building and operating advanced analytical frameworks, partnering closely with Compensation, HRBPs, Recruiting, and Finance to ensure decisions are well-informed, explainable, and practical. This is a senior individual contributor role and first of its kind. You will play a critical role in shaping how compensation data is modeled, interpreted, and applied across the People ecosystem. This role reports to our Head of Compensation & Total Rewards.
\nYour Responsibilities:
\nWe're Seeking:
\nWorkplace & Location
\nThis role can be based in our San Francisco office or remotely in the US. When applying, let us know which location(s) work for you. We also offer relocation support to new hires.
\nIf you're joining us in person, we offer relocation support and follow a hybrid schedule: three days a week in the office, with the option to work from home on Thursdays and Fridays. Our offices are set up for focus and connection—with adjustable desks, phone booths, conference rooms, stocked kitchens, and cozy spots to unwind or catch up with teammates.
\nAbout OpenAI
\nOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
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